MétaCan
Menu
Back to cohort
Record W2103874765 · doi:10.1093/ejcts/ezr009

Solitary fibrous tumours of the pleura

2011· review· en· W2103874765 on OpenAlexaff
Walid Abu Arab

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2011
Typereview
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsSolitary fibrous tumorMedicinePresentation (obstetrics)PathologyRadiologyBiology

Abstract

fetched live from OpenAlex

Solitary fibrous tumours of the pleura are rare. They are mesenchymal in origin. Initially, they were described in the pleura, but lately they have been reported in many other sites. Although the majority of these tumours are benign, some of them are malignant. Their unpredictable clinical course is probably related to their histological and morphological characteristics. The benign tumours may remain unproblematic for several years before changing into a malignant form. In order to define more accurately the clinical behaviour, diagnosis, management and outcome of these rare tumours, we reviewed the literature with particular attention to clinical presentation, methods of diagnosis, treatment and outcome. Furthermore, a modified algorithm was proposed for the management of these tumours.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.109
GPT teacher head0.338
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations92
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Cardio-Thoracic SurgerySame topicSoft tissue tumor case studiesFrench-language works237,207